Category: Cloud Computing

Cloud computing is Internet-based computing, whereby shared resources, software, and information are provided to computers and other devices on demand, as with the electricity grid.
Cloud computing is a natural evolution of the widespread adoption of virtualization, Service-oriented architecture and utility computing. Details are abstracted from consumers, who no longer have need for expertise in, or control over, the technology infrastructure “in the cloud” that supports them.[1] Cloud computing describes a new supplement, consumption, and delivery model for IT services based on the Internet, and it typically involves over-the-Internet provision of dynamically scalable and often virtualized resources.[2][3] It is a byproduct and consequence of the ease-of-access to remote computing sites provided by the Internet.[4] This frequently takes the form of web-based tools or applications that users can access and use through a web browser as if it were a program installed locally on their…

Achieving DevOps Harmony: Building and Deploying .NET Applications with AWS Services

Posted on by Nithin Mohan TK 5 min read

The Evolution of .NET Deployment on AWS After two decades of building enterprise applications, I’ve witnessed the transformation of deployment practices from manual FTP uploads to sophisticated CI/CD pipelines. When AWS introduced their native DevOps toolchain, it fundamentally changed how we approach .NET application delivery. The integration between CodeCommit, CodeBuild, CodePipeline, and ECR creates a […]

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Multi-Cloud AI Strategies: Avoiding Vendor Lock-in

Posted on by Nithin Mohan TK 12 min read

Multi-cloud AI strategies prevent vendor lock-in and optimize costs. After implementing multi-cloud for 20+ AI projects, I’ve learned what works. Here’s the complete guide to multi-cloud AI strategies. Figure 1: Multi-Cloud AI Architecture Why Multi-Cloud for AI Multi-cloud strategies offer significant advantages: Vendor independence: Avoid lock-in to single cloud provider Cost optimization: Use best pricing […]

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The Intersection of Data Analytics and IoT: Real-Time Decision Making

Posted on by Nithin Mohan TK 5 min read

The Data Deluge at the Edge After two decades of building data systems, I’ve watched the IoT revolution transform from a buzzword into the backbone of modern enterprise operations. The convergence of connected devices and real-time analytics has created opportunities that seemed impossible just a few years ago. But it has also introduced architectural challenges […]

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Cost Optimization for AI Workloads: Tracking and Reducing LLM Costs

Posted on by Nithin Mohan TK 5 min read

Last quarter, our LLM costs hit $12,000. In a single month. We had no idea where the money was going. No tracking, no budgets, no alerts. That’s when I realized: cost optimization isn’t optional for AI workloads—it’s survival. Here’s how we cut costs by 65% without sacrificing quality. Figure 1: Cost Optimization Architecture The $12,000 […]

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GPU Resource Management in Cloud: Optimizing AI Workloads

Posted on by Nithin Mohan TK 10 min read

GPU resource management is critical for cost-effective AI workloads. After managing GPU resources for 40+ AI projects, I’ve learned what works. Here’s the complete guide to optimizing GPU resources in the cloud. Figure 1: GPU Resource Management Architecture Why GPU Resource Management Matters GPU resources are expensive and limited: Cost: GPUs are the most expensive […]

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AWS DevOps and Infrastructure as Code: CDK, CloudFormation, Terraform, and CI/CD (Part 6 of 6)

Posted on by Nithin Mohan TK 7 min read

Infrastructure as Code (IaC) enables you to manage AWS resources through code, providing version control, repeatability, and collaboration. This guide compares AWS CDK, CloudFormation, and Terraform with production-ready examples. 📚 AWS FUNDAMENTALS SERIES – FINAL PART This is the final part of a 6-part series covering AWS Cloud Platform. Part 1: Fundamentals Part 2: Compute […]

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